{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 环境：python 3.6       库：jieba、gensim、pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1、导入数据，中文分词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Abstract</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>本发明涉及一种视力矫正装置，涉及视觉训练技术领域，用于解决现有技术中存在的矫正视力的效果不佳...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>一种视频处理方法、显示装置和非瞬时性计算机可读存储介质。视频处理方法包括：获取待处理视频，并...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>本申请公开了一种胸部按压仿真方法及装置，采用虚拟现实的手段，为用户提供执行胸部按压的场景，获...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>本申请提供了一种座舱系统调节装置和用于调节座舱系统的方法，该装置包括标定控制模块，用于控制H...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>本发明公开了一种虚实结合的室内外疏散仿真方法，本发明具体包括以下步骤：S1、根据疏散研究的对...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Abstract\n",
       "0  本发明涉及一种视力矫正装置，涉及视觉训练技术领域，用于解决现有技术中存在的矫正视力的效果不佳...\n",
       "1  一种视频处理方法、显示装置和非瞬时性计算机可读存储介质。视频处理方法包括：获取待处理视频，并...\n",
       "2  本申请公开了一种胸部按压仿真方法及装置，采用虚拟现实的手段，为用户提供执行胸部按压的场景，获...\n",
       "3  本申请提供了一种座舱系统调节装置和用于调节座舱系统的方法，该装置包括标定控制模块，用于控制H...\n",
       "4  本发明公开了一种虚实结合的室内外疏散仿真方法，本发明具体包括以下步骤：S1、根据疏散研究的对..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 导包\n",
    "import pandas as pd\n",
    "\n",
    "## CDTMTEST.xlsx 替换成自己的数据集，第一行命名为Abstract\n",
    "papers = pd.read_excel('DTMTEST.xlsx',names = ['Abstract'])\n",
    "papers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 导包\n",
    "import jieba\n",
    "\n",
    "## 如果有成熟的词典，就加载个人词典，去除#\n",
    "#jieba.load_userdict(\"smartlibrary.txt\")\n",
    "\n",
    "## 加载停用词典\n",
    "stopLists = list(pd.read_csv('停用词.txt',names=['w'],sep = ' ',encoding='utf-8').w)\n",
    "\n",
    "## 定义分词方法\n",
    "def paperCut(intxt):\n",
    "    return [w for w in jieba.cut(intxt) if w not in stopLists and len(w)>2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\songkai\\AppData\\Local\\Temp\\jieba.cache\n",
      "Loading model cost 0.611 seconds.\n",
      "Prefix dict has been built succesfully.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[['矫正视力',\n",
       "  '清晰度',\n",
       "  '相互之间',\n",
       "  '处理器',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '处理器',\n",
       "  '目标值',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '图形用户界面',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '第一组',\n",
       "  '第一组',\n",
       "  '第一组',\n",
       "  '另一只',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器']]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 进行分词\n",
    "wordList  = [paperCut(paper) for paper in papers.Abstract]\n",
    "wordList[:1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2、文本向量化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 导包\n",
    "from gensim import corpora,models\n",
    "\n",
    "wordDict = corpora.Dictionary(wordList)\n",
    "corpus = [wordDict.doc2bow(text) for text in wordList]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3、DTM建模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import ldaseqmodel\n",
    "from gensim.matutils import hellinger"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 时间切片\n",
    "time_slice = [100, 100, 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:297: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  convergence = np.fabs((bound - old_bound) / old_bound)\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 28s\n",
      "5,0DTM Python coherence is 0.544895853328332\n",
      "5,1DTM Python coherence is 0.5468039771951916\n",
      "5,2DTM Python coherence is 0.5458412072530807\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:297: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  convergence = np.fabs((bound - old_bound) / old_bound)\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 25s\n",
      "6,0DTM Python coherence is 0.5038073864719766\n",
      "6,1DTM Python coherence is 0.5155988667237373\n",
      "6,2DTM Python coherence is 0.4993363561190131\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:297: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  convergence = np.fabs((bound - old_bound) / old_bound)\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 31s\n",
      "7,0DTM Python coherence is 0.5081299228982198\n",
      "7,1DTM Python coherence is 0.5063698075824851\n",
      "7,2DTM Python coherence is 0.5029920614827973\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:297: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  convergence = np.fabs((bound - old_bound) / old_bound)\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 39s\n",
      "8,0DTM Python coherence is 0.5345019731842786\n",
      "8,1DTM Python coherence is 0.534680544127498\n",
      "8,2DTM Python coherence is 0.5331993347943442\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:297: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  convergence = np.fabs((bound - old_bound) / old_bound)\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n",
      "e:\\users\\songkai\\anaconda3\\lib\\site-packages\\gensim\\models\\ldaseqmodel.py:1478: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  converged = np.fabs((lhood_old - lhood) / (lhood_old * total))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1min 41s\n",
      "9,0DTM Python coherence is 0.4865319323278132\n",
      "9,1DTM Python coherence is 0.4861249133022565\n",
      "9,2DTM Python coherence is 0.48356591717246655\n"
     ]
    }
   ],
   "source": [
    "## 忽略警告提醒\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "## 主题一致性是评测主题实验效果优劣的指标,利用主题一致性判断最优主题数目\n",
    "from gensim.models.coherencemodel import CoherenceModel\n",
    "\n",
    "## 遍历主题数量从5个到20个\n",
    "for t_num in range(5,20):\n",
    "    ## DTM主题建模，训练阶段,em_max_iter设置为5，是为了降低迭代次数，节约时间\n",
    "    %time ldaseq = ldaseqmodel.LdaSeqModel(corpus=corpus, id2word=wordDict, time_slice=time_slice, num_topics=t_num,em_max_iter=5)\n",
    "    \n",
    "    ## 分阶段计算，如果阶段大于3，则直接替换3为具体数量\n",
    "    for t_time in range(0,3):\n",
    "        topics_dtm = ldaseq.dtm_coherence(time=t_time)   # 不同阶段的主题识别效果\n",
    "        cm_DTM = CoherenceModel(topics=topics_dtm, texts=wordList, dictionary=wordDict, coherence='c_v')\n",
    "        print (str(t_num)+\",\"+str(t_time)+\"DTM Python coherence is\", cm_DTM.get_coherence())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 3min 52s\n"
     ]
    }
   ],
   "source": [
    "## 忽略警告提醒\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "## DTM最优主题建模\n",
    "%time ldaseq = ldaseqmodel.LdaSeqModel(corpus=corpus, id2word=wordDict, time_slice=time_slice, num_topics=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('虚拟现实', 0.3614143417052271),\n",
       "  ('无人机', 0.03263194729064631),\n",
       "  ('控制指令', 0.030908588530599437),\n",
       "  ('处理器', 0.030342180064816097),\n",
       "  ('服务器', 0.020162894898410538),\n",
       "  ('计算机', 0.017509058244100973),\n",
       "  ('客户端', 0.01419172501162414),\n",
       "  ('存储器', 0.01273409742286364),\n",
       "  ('传感器', 0.011676436594186735),\n",
       "  ('发送至', 0.010603257172062454),\n",
       "  ('计算机程序', 0.009636935554678434),\n",
       "  ('存储介质', 0.00897101049514214),\n",
       "  ('显示屏', 0.007203670415839271),\n",
       "  ('人体模型', 0.0071559841976833755),\n",
       "  ('三维空间', 0.006680416965035477),\n",
       "  ('控制系统', 0.006606218416520548),\n",
       "  ('CIM', 0.006290315945949502),\n",
       "  ('摄像头', 0.0061007383921069585),\n",
       "  ('内部空间', 0.00603995664765226),\n",
       "  ('无线通信', 0.004840810939571686)],\n",
       " [('虚拟现实', 0.18042783929784045),\n",
       "  ('康复训练', 0.07993383989135755),\n",
       "  ('隐形眼镜', 0.01845826484210163),\n",
       "  ('处理器', 0.017135492493338685),\n",
       "  ('模型库', 0.01509808338143218),\n",
       "  ('摄像头', 0.014829804821976397),\n",
       "  ('手工艺品', 0.012448942695024605),\n",
       "  ('上半身', 0.012403377666814926),\n",
       "  ('加速度', 0.012026918083930376),\n",
       "  ('存储器', 0.010988955490444857),\n",
       "  ('长方体', 0.010972049791089997),\n",
       "  ('存储介质', 0.009751187955090062),\n",
       "  ('计算机', 0.009655565763280622),\n",
       "  ('下半身', 0.009592402578106982),\n",
       "  ('计算机程序', 0.007866008863405943),\n",
       "  ('建筑物', 0.007360966351501413),\n",
       "  ('教学系统', 0.006981054901520917),\n",
       "  ('障碍物', 0.006928583815109726),\n",
       "  ('控制部件', 0.006923006495770831),\n",
       "  ('活动度', 0.006917182725678779)],\n",
       " [('虚拟现实', 0.04768113022042114),\n",
       "  ('待处理', 0.0460166988824811),\n",
       "  ('数据处理', 0.02726561010176968),\n",
       "  ('机器人', 0.021970784014117967),\n",
       "  ('灵敏度', 0.021969546863632776),\n",
       "  ('显示器', 0.021832586824035074),\n",
       "  ('发送至', 0.02058812117631996),\n",
       "  ('三角形', 0.013824857945859106),\n",
       "  ('绝缘层', 0.012816691169114542),\n",
       "  ('子系统', 0.012538608135974154),\n",
       "  ('虚拟环境', 0.012163520730220014),\n",
       "  ('检测点', 0.012037515959347052),\n",
       "  ('头戴式', 0.01109925757245414),\n",
       "  ('正整数', 0.01109810751418179),\n",
       "  ('处理器', 0.011094357106315192),\n",
       "  ('相连接', 0.011088518580643077),\n",
       "  ('自闭症', 0.01094518983664583),\n",
       "  ('交换机', 0.010349711920836308),\n",
       "  ('实景拍摄', 0.010349005915977285),\n",
       "  ('接受者', 0.009951904871331395)],\n",
       " [('虚拟现实', 0.19257264122432285),\n",
       "  ('处理器', 0.05481904857434559),\n",
       "  ('主持人', 0.03091725051575896),\n",
       "  ('传感器', 0.024290289497266252),\n",
       "  ('自闭症', 0.02000927873908013),\n",
       "  ('参与者', 0.017494612879874086),\n",
       "  ('注意力', 0.015230489260435472),\n",
       "  ('建筑物', 0.014517307674479802),\n",
       "  ('头戴式', 0.01417602796664627),\n",
       "  ('接设备', 0.013982570060852562),\n",
       "  ('显示器', 0.013499910449131037),\n",
       "  ('数据处理', 0.012897584502323907),\n",
       "  ('终端设备', 0.011436094148761358),\n",
       "  ('存储介质', 0.010858916864014894),\n",
       "  ('计算机', 0.010669215981755922),\n",
       "  ('存储器', 0.010346944373073185),\n",
       "  ('中继器', 0.010128885039594608),\n",
       "  ('显示方式', 0.00970012068101086),\n",
       "  ('相关联', 0.008399856891582161),\n",
       "  ('服务器', 0.008280738788324844)],\n",
       " [('预制构件', 0.029291973212683734),\n",
       "  ('DASH', 0.029169954785557936),\n",
       "  ('显示信息', 0.024414697462124907),\n",
       "  ('MPD', 0.024121419382019012),\n",
       "  ('数据表示', 0.024091769832286707),\n",
       "  ('标识符', 0.023477692904086345),\n",
       "  ('计算机', 0.022375093162524545),\n",
       "  ('覆盖率', 0.020878461526695445),\n",
       "  ('处理器', 0.020311539799384024),\n",
       "  ('HUD', 0.018722332749068735),\n",
       "  ('HTTP', 0.017950471727429883),\n",
       "  ('相关联', 0.017134361460655872),\n",
       "  ('客户端', 0.016676222870143958),\n",
       "  ('交通流量', 0.01545788616684131),\n",
       "  ('虚拟现实', 0.015089811644488114),\n",
       "  ('摄像头', 0.01404943395762128),\n",
       "  ('像素点', 0.013436373400292412),\n",
       "  ('分系统', 0.013325155657162644),\n",
       "  ('接收器', 0.012702820555241695),\n",
       "  ('超文本', 0.011907027082409791)]]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 识别第一阶段的研究主题\n",
    "ldaseq.print_topics(time=2, top_terms=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('虚拟现实', 0.17999249918713212),\n",
       "  ('康复训练', 0.07919325198176047),\n",
       "  ('隐形眼镜', 0.017964190262671566),\n",
       "  ('处理器', 0.017146619440207175),\n",
       "  ('摄像头', 0.014862055128105955),\n",
       "  ('模型库', 0.014628660698439764),\n",
       "  ('上半身', 0.01254448152693636),\n",
       "  ('手工艺品', 0.012014929965987567),\n",
       "  ('加速度', 0.011895094328619545),\n",
       "  ('存储器', 0.01099353309320065),\n",
       "  ('长方体', 0.010713102830807895),\n",
       "  ('存储介质', 0.009769124238351513),\n",
       "  ('下半身', 0.009746010391150311),\n",
       "  ('计算机', 0.009620099824256769),\n",
       "  ('计算机程序', 0.00790819348240913),\n",
       "  ('控制部件', 0.007756785654190045),\n",
       "  ('建筑物', 0.0071590963290098075),\n",
       "  ('图像处理', 0.007000493531068999),\n",
       "  ('教学系统', 0.00688503642565154),\n",
       "  ('注视点', 0.0068804668131014005)],\n",
       " [('虚拟现实', 0.18002336878938222),\n",
       "  ('康复训练', 0.07950539141246092),\n",
       "  ('隐形眼镜', 0.018149863215804366),\n",
       "  ('处理器', 0.017108526141972998),\n",
       "  ('模型库', 0.015632398729945925),\n",
       "  ('摄像头', 0.01438460248316857),\n",
       "  ('上半身', 0.012445018343068562),\n",
       "  ('手工艺品', 0.012178652639313966),\n",
       "  ('加速度', 0.01197741709212167),\n",
       "  ('存储器', 0.010973213187843407),\n",
       "  ('长方体', 0.010811372189986129),\n",
       "  ('存储介质', 0.009745987865755736),\n",
       "  ('下半身', 0.009643626537954671),\n",
       "  ('计算机', 0.009626604029948513),\n",
       "  ('计算机程序', 0.007873391662197382),\n",
       "  ('建筑物', 0.007444704915054008),\n",
       "  ('控制部件', 0.007258411102199164),\n",
       "  ('障碍物', 0.006995592509716612),\n",
       "  ('活动度', 0.006982775054864797),\n",
       "  ('教学系统', 0.006920341435851678)],\n",
       " [('虚拟现实', 0.18042783929784045),\n",
       "  ('康复训练', 0.07993383989135755),\n",
       "  ('隐形眼镜', 0.01845826484210163),\n",
       "  ('处理器', 0.017135492493338685),\n",
       "  ('模型库', 0.01509808338143218),\n",
       "  ('摄像头', 0.014829804821976397),\n",
       "  ('手工艺品', 0.012448942695024605),\n",
       "  ('上半身', 0.012403377666814926),\n",
       "  ('加速度', 0.012026918083930376),\n",
       "  ('存储器', 0.010988955490444857),\n",
       "  ('长方体', 0.010972049791089997),\n",
       "  ('存储介质', 0.009751187955090062),\n",
       "  ('计算机', 0.009655565763280622),\n",
       "  ('下半身', 0.009592402578106982),\n",
       "  ('计算机程序', 0.007866008863405943),\n",
       "  ('建筑物', 0.007360966351501413),\n",
       "  ('教学系统', 0.006981054901520917),\n",
       "  ('障碍物', 0.006928583815109726),\n",
       "  ('控制部件', 0.006923006495770831),\n",
       "  ('活动度', 0.006917182725678779)]]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 识别主题1在三个阶段的主题内容\n",
    "ldaseq.print_topic_times(topic=1, top_terms=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3.44234079e-04 9.98623064e-01 3.44234079e-04 3.44234079e-04\n",
      " 3.44234079e-04]\n"
     ]
    }
   ],
   "source": [
    "## 查看某一篇文献的主题分布\n",
    "doc = ldaseq.doc_topics(0)\n",
    "print (doc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4、主题相似度计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([5.08248368e-01, 4.90718930e-01, 3.44234079e-04, 3.44234079e-04,\n",
       "        3.44234079e-04]),\n",
       " array([2.78338529e-01, 1.25264152e-01, 1.99800200e-04, 5.95997719e-01,\n",
       "        1.99800200e-04]),\n",
       " array([4.75059382e-04, 3.07757818e-01, 6.00919716e-01, 4.75059382e-04,\n",
       "        9.03723468e-02]),\n",
       " array([4.75059382e-04, 4.75059382e-04, 4.75059382e-04, 4.75059382e-04,\n",
       "        9.98099762e-01]),\n",
       " array([5.24934383e-04, 5.24934383e-04, 9.97900262e-01, 5.24934383e-04,\n",
       "        5.24934383e-04])]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 文档主题概率识别\n",
    "sim = []\n",
    "for i in range(papers.size):\n",
    "    sim.append(ldaseq.doc_topics(i))\n",
    "sim[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.508248</td>\n",
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       "      <td>0.000344</td>\n",
       "      <td>0.000344</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.278339</td>\n",
       "      <td>0.125264</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.595998</td>\n",
       "      <td>0.000200</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.307758</td>\n",
       "      <td>0.600920</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.090372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.998100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.997900</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
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       "          0         1         2         3         4\n",
       "0  0.508248  0.490719  0.000344  0.000344  0.000344\n",
       "1  0.278339  0.125264  0.000200  0.595998  0.000200\n",
       "2  0.000475  0.307758  0.600920  0.000475  0.090372\n",
       "3  0.000475  0.000475  0.000475  0.000475  0.998100\n",
       "4  0.000525  0.000525  0.997900  0.000525  0.000525"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 设置为数据框\n",
    "tv = pd.DataFrame(sim)\n",
    "tv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>max_val</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.508248</td>\n",
       "      <td>0.490719</td>\n",
       "      <td>0.000344</td>\n",
       "      <td>0.000344</td>\n",
       "      <td>0.000344</td>\n",
       "      <td>0.508248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.278339</td>\n",
       "      <td>0.125264</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.595998</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.595998</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.307758</td>\n",
       "      <td>0.600920</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.090372</td>\n",
       "      <td>0.600920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.000475</td>\n",
       "      <td>0.998100</td>\n",
       "      <td>0.998100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.997900</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.997900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "          0         1         2         3         4   max_val\n",
       "0  0.508248  0.490719  0.000344  0.000344  0.000344  0.508248\n",
       "1  0.278339  0.125264  0.000200  0.595998  0.000200  0.595998\n",
       "2  0.000475  0.307758  0.600920  0.000475  0.090372  0.600920\n",
       "3  0.000475  0.000475  0.000475  0.000475  0.998100  0.998100\n",
       "4  0.000525  0.000525  0.997900  0.000525  0.000525  0.997900"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 识别最大主题支持度\n",
    "tv[\"max_val\"] = tv.max(axis=1)\n",
    "tv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.997900</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.000525</td>\n",
       "      <td>0.997900</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4   max_val  max_idx\n",
       "0  0.508248  0.490719  0.000344  0.000344  0.000344  0.508248        0\n",
       "1  0.278339  0.125264  0.000200  0.595998  0.000200  0.595998        3\n",
       "2  0.000475  0.307758  0.600920  0.000475  0.090372  0.600920        2\n",
       "3  0.000475  0.000475  0.000475  0.000475  0.998100  0.998100        4\n",
       "4  0.000525  0.000525  0.997900  0.000525  0.000525  0.997900        2"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 识别文档所属主题\n",
    "tv[\"max_idx\"] = tv.idxmax(axis=1)\n",
    "tv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100\n",
      "100\n",
      "100\n"
     ]
    }
   ],
   "source": [
    "## 划分时间阶段\n",
    "## 强调：如果时间段大于三个，此处按实际情况进行增加\n",
    "period1 = tv.iloc[:time_slice[0]]\n",
    "period2 = tv.iloc[time_slice[0]:time_slice[1]+time_slice[0]]\n",
    "period3 = tv.iloc[time_slice[1]+time_slice[0]:time_slice[2]+time_slice[1]+time_slice[0]]\n",
    "period4= \n",
    "print(len(period1))\n",
    "print(len(period2))\n",
    "print(len(period3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 按照所属主题进行分组，进行文本聚类\n",
    "groupbying1 = period1.groupby(\"max_idx\")\n",
    "groupbying2 = period2.groupby(\"max_idx\")\n",
    "groupbying3 = period3.groupby(\"max_idx\")\n",
    "groupbying4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "主题0与邻近阶段主题相似度计算\n",
      "0.6945806685072214\n",
      "0.17151343352481263\n",
      "0.07866423359748165\n",
      "0.06112480727051428\n",
      "0.07489660966112655\n",
      "\n",
      "主题1与邻近阶段主题相似度计算\n",
      "0.19658214135415608\n",
      "0.7874589823703444\n",
      "0.2037968591343018\n",
      "0.10626763348558088\n",
      "0.18587394846785787\n",
      "\n",
      "主题2与邻近阶段主题相似度计算\n",
      "0.1171239929996779\n",
      "0.19576009556112617\n",
      "0.7441093947631092\n",
      "0.03266221499355548\n",
      "0.06791516971316591\n",
      "\n",
      "主题3与邻近阶段主题相似度计算\n",
      "0.12685944836088403\n",
      "0.14714834985906167\n",
      "0.047651894809227935\n",
      "0.7691633685834038\n",
      "0.08926612809132717\n",
      "\n",
      "主题4与邻近阶段主题相似度计算\n",
      "0.12386951221347398\n",
      "0.17853529522551792\n",
      "0.08784570523537893\n",
      "0.04419672445619505\n",
      "0.7384854723393743\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## 计算第一阶段和第二阶段的主题相似度\n",
    "## 强调：数字5要根据实际最优主题数目进行调整\n",
    "for num_one in range(0,5):\n",
    "    p1_grop0 = groupbying1.get_group(num_one)\n",
    "    p1_val0 = p1_grop0.iloc[:,0:5].values\n",
    "    \n",
    "    print(\"主题\"+str(num_one)+\"与邻近阶段主题相似度计算\")\n",
    "    \n",
    "    ## 强调：数字5要根据实际最优主题数目进行调整\n",
    "    for num_two in range(0,5):\n",
    "        p2_grop0 = groupbying2.get_group(num_two)\n",
    "        p2_val0 = p2_grop0.iloc[:,0:5].values\n",
    "        \n",
    "        sim_val = 0\n",
    "        for p1_val in p1_val0:\n",
    "            for p2_val in p2_val0:\n",
    "                sim_val+=hellinger(p1_val,p2_val)\n",
    "        print(1-sim_val/(len(p1_val0)*len(p2_val0))) \n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "主题0与邻近阶段主题相似度计算\n",
      "0.6690661029230708\n",
      "0.1926389742018787\n",
      "0.12529952323962068\n",
      "0.05229495154267649\n",
      "0.10770160531699613\n",
      "\n",
      "主题1与邻近阶段主题相似度计算\n",
      "0.22261477062102275\n",
      "0.792297075581635\n",
      "0.17842085264184582\n",
      "0.06430461604414728\n",
      "0.13817787967392903\n",
      "\n",
      "主题2与邻近阶段主题相似度计算\n",
      "0.08060085982724408\n",
      "0.18150912203998093\n",
      "0.6917930932779731\n",
      "0.07131188599955063\n",
      "0.08163580154741923\n",
      "\n",
      "主题3与邻近阶段主题相似度计算\n",
      "0.08015850060841123\n",
      "0.12265925577675219\n",
      "0.0718385135335673\n",
      "0.855376642691943\n",
      "0.06086616762969754\n",
      "\n",
      "主题4与邻近阶段主题相似度计算\n",
      "0.12799789454513533\n",
      "0.18171073538921567\n",
      "0.0988769706951298\n",
      "0.03419551954979849\n",
      "0.7361816635526601\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## 识别第二阶段和第三阶段的主题相似度\n",
    "## 强调：数字5要根据实际最优主题数目进行调整\n",
    "for num_one in range(0,5):\n",
    "    ## groupbying2 第二阶段数据\n",
    "    p1_grop0 = groupbying2.get_group(num_one)\n",
    "    p1_val0 = p1_grop0.iloc[:,0:5].values\n",
    "    \n",
    "    print(\"主题\"+str(num_one)+\"与邻近阶段主题相似度计算\")\n",
    "\n",
    "    for num_two in range(0,5):\n",
    "        ## groupbying3 第三阶段数据\n",
    "        \n",
    "        p2_grop0 = groupbying3.get_group(num_two)\n",
    "        p2_val0 = p2_grop0.iloc[:,0:5].values\n",
    "        \n",
    "        sim_val = 0\n",
    "        for p1_val in p1_val0:\n",
    "            for p2_val in p2_val0:\n",
    "                sim_val+=hellinger(p1_val,p2_val)\n",
    "        print(1-sim_val/(len(p1_val0)*len(p2_val0)))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 识别第二阶段和第三阶段的主题相似度\n",
    "## 强调：数字5要根据实际最优主题数目进行调整\n",
    "for num_one in range(0,5):\n",
    "    ## groupbying2 第二阶段数据\n",
    "    p1_grop0 = groupbying3.get_group(num_one)\n",
    "    p1_val0 = p1_grop0.iloc[:,0:5].values\n",
    "    \n",
    "    print(\"主题\"+str(num_one)+\"与邻近阶段主题相似度计算\")\n",
    "\n",
    "    for num_two in range(0,5):\n",
    "        ## groupbying3 第三阶段数据\n",
    "        p2_grop0 = groupbying4.get_group(num_two)\n",
    "        p2_val0 = p2_grop0.iloc[:,0:5].values\n",
    "        \n",
    "        sim_val = 0\n",
    "        for p1_val in p1_val0:\n",
    "            for p2_val in p2_val0:\n",
    "                sim_val+=hellinger(p1_val,p2_val)\n",
    "        print(1-sim_val/(len(p1_val0)*len(p2_val0)))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5、研究主题热度计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.404262\n",
       "1    0.178923\n",
       "2    0.157245\n",
       "3    0.155643\n",
       "4    0.103927\n",
       "dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##每个阶段平均主题支持度 \n",
    "period1.agg({0:\"mean\",1:\"mean\",2:\"mean\",3:\"mean\",4:\"mean\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.375497\n",
       "1    0.204775\n",
       "2    0.136867\n",
       "3    0.232101\n",
       "4    0.050761\n",
       "dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "period2.agg({0:\"mean\",1:\"mean\",2:\"mean\",3:\"mean\",4:\"mean\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.490676\n",
       "1    0.138012\n",
       "2    0.115769\n",
       "3    0.214163\n",
       "4    0.041380\n",
       "dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "period3.agg({0:\"mean\",1:\"mean\",2:\"mean\",3:\"mean\",4:\"mean\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6、每个阶段主题词共现分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[('虚拟现实', 0.21112664637872655),\n",
       "  ('控制指令', 0.05617437467576978),\n",
       "  ('服务器', 0.033174827953867954),\n",
       "  ('康复训练', 0.030972991641145885),\n",
       "  ('摄像头', 0.025370580196733605),\n",
       "  ('无人机', 0.02109170478334268),\n",
       "  ('处理器', 0.014980658773506109),\n",
       "  ('控制系统', 0.013537372976793137),\n",
       "  ('显示屏', 0.013110728812952447),\n",
       "  ('中继器', 0.011088053015069104)],\n",
       " [('主持人', 0.0672144806556817),\n",
       "  ('康复训练', 0.05898371736974637),\n",
       "  ('自闭症', 0.04991225295873958),\n",
       "  ('虚拟现实', 0.049912251630807064),\n",
       "  ('数据处理', 0.04879088646762306),\n",
       "  ('注意力', 0.02838101107269361),\n",
       "  ('显示器', 0.022201913585210963),\n",
       "  ('SDK', 0.017834086387326843),\n",
       "  ('处理器', 0.016646038697507262),\n",
       "  ('发送至', 0.016509320626808953)],\n",
       " [('虚拟现实', 0.31644043170586744),\n",
       "  ('处理器', 0.06877025952058571),\n",
       "  ('无人机', 0.026552934024864302),\n",
       "  ('计算机', 0.02614541061476119),\n",
       "  ('存储器', 0.022483260157370538),\n",
       "  ('存储介质', 0.017741551433480923),\n",
       "  ('传感器', 0.01676465677830241),\n",
       "  ('计算机程序', 0.015418773728586204),\n",
       "  ('头戴式', 0.009743655867165291),\n",
       "  ('接设备', 0.009743361111880199)],\n",
       " [('建筑物', 0.04787684993983351),\n",
       "  ('参与者', 0.03765951270095322),\n",
       "  ('灵敏度', 0.034511352574323785),\n",
       "  ('虚拟现实', 0.03234139858935488),\n",
       "  ('DASH', 0.025897092164469317),\n",
       "  ('显示信息', 0.02338842562667681),\n",
       "  ('MPD', 0.022396749020034995),\n",
       "  ('处理器', 0.02153914879197329),\n",
       "  ('标识符', 0.02106089801093597),\n",
       "  ('显示方式', 0.02019879009342836)],\n",
       " [('虚拟现实', 0.29568917632478986),\n",
       "  ('客户端', 0.028930225208479387),\n",
       "  ('传感器', 0.02132023198389351),\n",
       "  ('待处理', 0.01700077123909103),\n",
       "  ('显示器', 0.013647332059659553),\n",
       "  ('三维空间', 0.013037134758853652),\n",
       "  ('人体模型', 0.012717517551209652),\n",
       "  ('发送至', 0.012037857090839058),\n",
       "  ('CIM', 0.011004301946423208),\n",
       "  ('服务器', 0.01079990234117995)]]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 识别第一阶段的研究主题\n",
    "ldaseq.print_topics(time=1, top_terms=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['虚拟现实', '控制指令', '服务器', '康复训练', '摄像头']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 读取第一阶段主题词\n",
    "P1_Key = list(pd.read_csv('P1.txt',names=['w'],sep = ' ',encoding='utf-8').w)\n",
    "P1_Key[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 读取第一阶段文本关键词\n",
    "P1_Word = wordList[:time_slice[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['矫正视力',\n",
       "  '清晰度',\n",
       "  '相互之间',\n",
       "  '处理器',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '处理器',\n",
       "  '目标值',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '图形用户界面',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '第一组',\n",
       "  '第一组',\n",
       "  '第一组',\n",
       "  '另一只',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器'],\n",
       " ['显示装置',\n",
       "  '瞬时性',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '待处理',\n",
       "  '显示装置',\n",
       "  '显示装置',\n",
       "  '显示装置',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '一一对应',\n",
       "  '显示装置',\n",
       "  '一一对应',\n",
       "  '正整数',\n",
       "  '显示装置',\n",
       "  '时间轴',\n",
       "  '时间差',\n",
       "  '绝对值',\n",
       "  '时间轴',\n",
       "  '时间轴',\n",
       "  '时间轴',\n",
       "  '时间差',\n",
       "  '绝对值',\n",
       "  '待处理',\n",
       "  'GPS',\n",
       "  '显示装置',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '显示装置',\n",
       "  '待处理',\n",
       "  '显示装置',\n",
       "  '显示装置',\n",
       "  '存储器',\n",
       "  '瞬时性',\n",
       "  '计算机',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '计算机',\n",
       "  '处理器',\n",
       "  '瞬时性',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '瞬时性',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机',\n",
       "  '计算机',\n",
       "  '处理器'],\n",
       " ['虚拟现实',\n",
       "  '人体模型',\n",
       "  '说明书',\n",
       "  '身临其境',\n",
       "  '人体模型',\n",
       "  '人体模型',\n",
       "  '传感器',\n",
       "  '人体模型',\n",
       "  '人体模型',\n",
       "  '传感器',\n",
       "  '第一次',\n",
       "  '初始化',\n",
       "  '第一次',\n",
       "  '初始化',\n",
       "  '人体模型',\n",
       "  '承受能力',\n",
       "  '电子设备',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '存储器',\n",
       "  '处理器'],\n",
       " ['HUD',\n",
       "  '系统配置',\n",
       "  '系统配置',\n",
       "  'HUD',\n",
       "  '舒适度',\n",
       "  'HUD',\n",
       "  'HUD',\n",
       "  '系统配置',\n",
       "  '系统配置',\n",
       "  'HUD',\n",
       "  'HUD',\n",
       "  'HUD',\n",
       "  '系统配置',\n",
       "  '系统配置',\n",
       "  'HUD',\n",
       "  'HUD',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机程序',\n",
       "  '计算机程序',\n",
       "  '交通工具'],\n",
       " ['室内外',\n",
       "  '传感器',\n",
       "  'GPS',\n",
       "  '惯性导航',\n",
       "  '传感器',\n",
       "  '信息系统',\n",
       "  '室内外',\n",
       "  '疏散人员',\n",
       "  '可信度',\n",
       "  '室内外',\n",
       "  '室内外',\n",
       "  '数字化',\n",
       "  '传感器',\n",
       "  'GPS',\n",
       "  '惯性导航',\n",
       "  '传感器',\n",
       "  '声光电',\n",
       "  '当前情况',\n",
       "  '室内外'],\n",
       " ['可视化',\n",
       "  '外部环境',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '外部环境',\n",
       "  '气象条件',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '外部环境',\n",
       "  '全方位',\n",
       "  '控制系统',\n",
       "  '提供数据',\n",
       "  '可视化',\n",
       "  '外部环境',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '外部环境',\n",
       "  '气象条件',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '外部环境',\n",
       "  '全方位',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '存储模块',\n",
       "  '数据处理',\n",
       "  '外部环境',\n",
       "  '传感器',\n",
       "  '数据处理',\n",
       "  '传感器',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '神经网络',\n",
       "  '神经网络',\n",
       "  '传感器',\n",
       "  '最上层',\n",
       "  '以权值',\n",
       "  '物理量',\n",
       "  '分类器',\n",
       "  '数据处理',\n",
       "  'Ldiss',\n",
       "  'Lgen',\n",
       "  '训练样本',\n",
       "  '预测值',\n",
       "  '最上层',\n",
       "  '神经元',\n",
       "  '行向量',\n",
       "  'broot',\n",
       "  '映射函数',\n",
       "  '线性变换',\n",
       "  '映射函数',\n",
       "  '意味着',\n",
       "  'sigmoid',\n",
       "  '存储模块',\n",
       "  '能见度',\n",
       "  '雷达探测',\n",
       "  '雷达探测',\n",
       "  '图形化',\n",
       "  '障碍物'],\n",
       " ['无人机',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '无人机',\n",
       "  '飞行器',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '无人机',\n",
       "  '飞行器',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '无人机',\n",
       "  '无线通信',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无线通信'],\n",
       " ['教学系统',\n",
       "  '数据处理',\n",
       "  '少数民族',\n",
       "  '虚拟现实',\n",
       "  '摄像机',\n",
       "  '模拟输出',\n",
       "  '显示器',\n",
       "  '模拟输出',\n",
       "  '民间工艺',\n",
       "  '现代人',\n",
       "  '少数民族',\n",
       "  '民间工艺',\n",
       "  '教学方法',\n",
       "  '教学系统',\n",
       "  '教学系统',\n",
       "  '少数民族',\n",
       "  '民间文化',\n",
       "  '全方位',\n",
       "  '宗教信仰',\n",
       "  '存储模块',\n",
       "  '存储模块',\n",
       "  '单片机',\n",
       "  '虚拟现实',\n",
       "  '摄像机',\n",
       "  '模拟输出',\n",
       "  '显示器',\n",
       "  '模拟输出',\n",
       "  '教学方法',\n",
       "  '第一步',\n",
       "  '少数民族',\n",
       "  '第二步',\n",
       "  '虚拟现实',\n",
       "  '第三步',\n",
       "  '摄像机',\n",
       "  '第四步',\n",
       "  '模拟输出',\n",
       "  '第五步',\n",
       "  '显示器',\n",
       "  '模拟输出',\n",
       "  '教学方法',\n",
       "  '模拟输出',\n",
       "  '教学方法',\n",
       "  '数据处理',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机',\n",
       "  '计算机',\n",
       "  '教学方法'],\n",
       " ['系统管理',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '系统管理',\n",
       "  '操作界面',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '计算机',\n",
       "  '系统管理',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '系统管理',\n",
       "  '操作界面',\n",
       "  '系统管理',\n",
       "  '虚拟现实',\n",
       "  '操作系统',\n",
       "  '三维空间',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '多种不同',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '动态图',\n",
       "  '控制部件',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '操作系统',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '系统管理',\n",
       "  '系统管理',\n",
       "  '控制部件',\n",
       "  '三维空间',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '多种不同',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '动态图',\n",
       "  '控制部件',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '传感器',\n",
       "  '传感器',\n",
       "  '虚拟现实',\n",
       "  '传感器',\n",
       "  '显示器',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '操作系统',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '系统管理',\n",
       "  '系统管理',\n",
       "  '控制部件',\n",
       "  '三维空间',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '多种不同',\n",
       "  '应用程序',\n",
       "  '应用程序',\n",
       "  '控制部件',\n",
       "  '控制部件',\n",
       "  '动态图',\n",
       "  '控制部件',\n",
       "  '虚拟现实',\n",
       "  '处理器',\n",
       "  '处理器',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '计算机程序'],\n",
       " ['虚拟现实',\n",
       "  '测量方法',\n",
       "  '终端设备',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '精确测量',\n",
       "  '广泛应用',\n",
       "  '虚拟现实',\n",
       "  '大规模',\n",
       "  '测量方法',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '对比度',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  'PVR',\n",
       "  'FVR',\n",
       "  '虚拟现实',\n",
       "  'Pcam',\n",
       "  'Fcam',\n",
       "  '摄像头',\n",
       "  '终端设备',\n",
       "  '存储器',\n",
       "  '处理器',\n",
       "  '存储器',\n",
       "  '处理器',\n",
       "  '计算机程序',\n",
       "  '处理器',\n",
       "  '计算机程序',\n",
       "  '测量方法',\n",
       "  '摄像头',\n",
       "  '终端设备',\n",
       "  '终端设备',\n",
       "  '摄像头',\n",
       "  '处理单元',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '处理单元',\n",
       "  '虚拟现实',\n",
       "  '对比度',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '像素点',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  'PVR',\n",
       "  'FVR',\n",
       "  '虚拟现实',\n",
       "  'Pcam',\n",
       "  'Fcam',\n",
       "  '摄像头']]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P1_Word[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['处理器',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '处理器',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '头戴式',\n",
       "  '虚拟现实',\n",
       "  '显示器'],\n",
       " ['计算机',\n",
       "  '存储介质',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '待处理',\n",
       "  '存储器',\n",
       "  '计算机',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '计算机',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机',\n",
       "  '计算机',\n",
       "  '处理器'],\n",
       " ['虚拟现实',\n",
       "  '人体模型',\n",
       "  '人体模型',\n",
       "  '人体模型',\n",
       "  '传感器',\n",
       "  '人体模型',\n",
       "  '人体模型',\n",
       "  '传感器',\n",
       "  '人体模型',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '存储器',\n",
       "  '处理器'],\n",
       " ['计算机', '存储介质', '计算机程序', '计算机程序'],\n",
       " ['传感器', '传感器', '传感器', '传感器'],\n",
       " ['数据处理',\n",
       "  '数据处理',\n",
       "  '控制系统',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '传感器',\n",
       "  '数据处理',\n",
       "  '传感器',\n",
       "  '数据处理',\n",
       "  '数据处理',\n",
       "  '传感器',\n",
       "  '数据处理'],\n",
       " ['无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '头戴式',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '无人机',\n",
       "  '无人机',\n",
       "  '虚拟现实',\n",
       "  '无人机'],\n",
       " ['数据处理',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '数据处理',\n",
       "  '计算机',\n",
       "  '存储介质',\n",
       "  '计算机',\n",
       "  '计算机'],\n",
       " ['虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '计算机',\n",
       "  '虚拟现实',\n",
       "  '三维空间',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '三维空间',\n",
       "  '虚拟现实',\n",
       "  '显示器',\n",
       "  '传感器',\n",
       "  '传感器',\n",
       "  '虚拟现实',\n",
       "  '传感器',\n",
       "  '显示器',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '三维空间',\n",
       "  '虚拟现实',\n",
       "  '处理器',\n",
       "  '处理器',\n",
       "  '处理器',\n",
       "  '计算机',\n",
       "  '计算机程序'],\n",
       " ['虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '存储器',\n",
       "  '处理器',\n",
       "  '存储器',\n",
       "  '处理器',\n",
       "  '计算机程序',\n",
       "  '处理器',\n",
       "  '计算机程序',\n",
       "  '摄像头',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '摄像头',\n",
       "  '虚拟现实',\n",
       "  '虚拟现实',\n",
       "  '摄像头']]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 获取每篇文档中的主题关键词\n",
    "Clean_Words = []\n",
    "for words in P1_Word:\n",
    "    clean_w = []\n",
    "    for w in words:\n",
    "        if w in P1_Key:\n",
    "            clean_w.append(w)\n",
    "    Clean_Words.append(clean_w)\n",
    "Clean_Words[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['处理器 头戴式 虚拟现实 头戴式 虚拟现实 虚拟现实 头戴式 虚拟现实 显示器 处理器 头戴式 虚拟现实 头戴式 虚拟现实 头戴式 虚拟现实 显示器 头戴式 虚拟现实 显示器 ',\n",
       " '计算机 存储介质 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 存储器 计算机 处理器 计算机 计算机 处理器 计算机 存储介质 计算机 存储介质 计算机 计算机 处理器 ',\n",
       " '虚拟现实 人体模型 人体模型 人体模型 传感器 人体模型 人体模型 传感器 人体模型 处理器 计算机 存储器 处理器 ',\n",
       " '计算机 存储介质 计算机程序 计算机程序 ',\n",
       " '传感器 传感器 传感器 传感器 ',\n",
       " '数据处理 数据处理 控制系统 数据处理 数据处理 数据处理 数据处理 数据处理 数据处理 传感器 数据处理 传感器 数据处理 数据处理 传感器 数据处理 ',\n",
       " '无人机 无人机 虚拟现实 虚拟现实 无人机 虚拟现实 无人机 无人机 虚拟现实 虚拟现实 头戴式 无人机 虚拟现实 头戴式 无人机 无人机 无人机 虚拟现实 无人机 无人机 虚拟现实 虚拟现实 虚拟现实 虚拟现实 无人机 虚拟现实 虚拟现实 虚拟现实 虚拟现实 无人机 虚拟现实 无人机 无人机 无人机 虚拟现实 无人机 虚拟现实 虚拟现实 虚拟现实 虚拟现实 无人机 无人机 虚拟现实 无人机 无人机 虚拟现实 无人机 虚拟现实 虚拟现实 虚拟现实 虚拟现实 无人机 无人机 虚拟现实 无人机 ',\n",
       " '数据处理 虚拟现实 显示器 虚拟现实 显示器 虚拟现实 显示器 数据处理 计算机 存储介质 计算机 计算机 ',\n",
       " '虚拟现实 虚拟现实 计算机 虚拟现实 三维空间 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 三维空间 虚拟现实 显示器 传感器 传感器 虚拟现实 传感器 显示器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 三维空间 虚拟现实 处理器 处理器 处理器 计算机 计算机程序 ',\n",
       " '虚拟现实 虚拟现实 摄像头 摄像头 摄像头 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 摄像头 摄像头 摄像头 虚拟现实 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 虚拟现实 摄像头 存储器 处理器 存储器 处理器 计算机程序 处理器 计算机程序 摄像头 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 虚拟现实 摄像头 ',\n",
       " '数据处理 存储介质 数据处理 数据处理 控制指令 控制指令 控制指令 控制指令 数据处理 控制指令 控制指令 控制指令 控制指令 存储介质 存储介质 处理器 数据处理 ',\n",
       " '存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 处理器 存储器 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 存储介质 计算机程序 计算机程序 处理器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 计算机 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '',\n",
       " '康复训练 虚拟现实 康复训练 康复训练 虚拟现实 虚拟现实 康复训练 康复训练 虚拟现实 康复训练 康复训练 康复训练 康复训练 虚拟现实 虚拟现实 虚拟现实 康复训练 康复训练 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 存储器 处理器 处理器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 虚拟现实 虚拟现实 虚拟现实 处理器 虚拟现实 处理器 处理器 处理器 处理器 处理器 ',\n",
       " '虚拟现实 虚拟现实 显示方式 显示方式 显示方式 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 显示方式 虚拟现实 显示方式 显示方式 显示方式 显示方式 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 显示方式 显示方式 虚拟现实 显示方式 显示方式 显示方式 显示方式 虚拟现实 虚拟现实 虚拟现实 处理器 存储器 存储器 处理器 虚拟现实 计算机 存储介质 存储介质 处理器 虚拟现实 ',\n",
       " '虚拟现实 自闭症 康复训练 虚拟现实 虚拟现实 自闭症 虚拟现实 自闭症 虚拟现实 虚拟现实 自闭症 康复训练 自闭症 虚拟现实 自闭症 康复训练 虚拟现实 虚拟现实 自闭症 虚拟现实 自闭症 虚拟现实 虚拟现实 自闭症 康复训练 康复训练 自闭症 康复训练 自闭症 注意力 康复训练 注意力 康复训练 康复训练 虚拟现实 头戴式 自闭症 自闭症 虚拟现实 虚拟现实 自闭症 自闭症 虚拟现实 头戴式 头戴式 自闭症 自闭症 自闭症 虚拟现实 虚拟现实 自闭症 自闭症 自闭症 自闭症 自闭症 自闭症 康复训练 自闭症 虚拟现实 虚拟现实 自闭症 自闭症 自闭症 康复训练 自闭症 自闭症 自闭症 注意力 自闭症 自闭症 自闭症 自闭症 自闭症 注意力 自闭症 自闭症 自闭症 自闭症 自闭症 自闭症 自闭症 康复训练 康复训练 自闭症 康复训练 康复训练 虚拟现实 自闭症 康复训练 虚拟现实 自闭症 康复训练 虚拟现实 虚拟现实 自闭症 虚拟现实 自闭症 虚拟现实 自闭症 康复训练 ',\n",
       " '传感器 存储器 计算机 ',\n",
       " '虚拟现实 参与者 参与者 虚拟现实 处理器 计算机 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 显示器 服务器 服务器 处理器 计算机 计算机 虚拟现实 处理器 服务器 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 参与者 显示器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '摄像头 摄像头 摄像头 摄像头 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 存储介质 虚拟现实 虚拟现实 控制指令 虚拟现实 虚拟现实 虚拟现实 虚拟现实 控制指令 控制指令 控制指令 虚拟现实 虚拟现实 虚拟现实 控制指令 控制指令 控制指令 存储器 处理器 存储器 计算机 计算机 处理器 处理器 计算机 存储介质 计算机 处理器 处理器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 数据处理 数据处理 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 数据处理 数据处理 传感器 传感器 数据处理 传感器 传感器 传感器 传感器 数据处理 数据处理 传感器 传感器 ',\n",
       " '虚拟现实 计算机程序 传感器 虚拟现实 虚拟现实 虚拟现实 头戴式 显示器 虚拟现实 传感器 传感器 传感器 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 头戴式 显示器 虚拟现实 传感器 传感器 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 计算机程序 计算机 存储介质 计算机程序 头戴式 显示器 虚拟现实 计算机 存储介质 传感器 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '康复训练 康复训练 康复训练 康复训练 康复训练 虚拟现实 虚拟现实 虚拟现实 康复训练 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '存储介质 虚拟现实 待处理 处理器 处理器 计算机 存储介质 计算机 存储介质 处理器 计算机 存储介质 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 计算机 计算机 处理器 处理器 处理器 处理器 人体模型 人体模型 人体模型 人体模型 人体模型 人体模型 处理器 人体模型 人体模型 处理器 人体模型 处理器 人体模型 人体模型 人体模型 ',\n",
       " '虚拟现实 发送至 虚拟现实 发送至 发送至 虚拟现实 发送至 发送至 虚拟现实 虚拟现实 发送至 发送至 发送至 摄像头 发送至 虚拟现实 发送至 发送至 ',\n",
       " '显示方式 显示方式 控制指令 控制指令 摄像头 控制指令 控制指令 控制指令 ',\n",
       " '无人机 无人机 服务器 无人机 服务器 服务器 无人机 无人机 无人机 服务器 无人机 服务器 无人机 发送至 服务器 服务器 虚拟现实 控制指令 控制指令 发送至 服务器 服务器 控制指令 无人机 无人机 无人机 无人机 无人机 无人机 服务器 服务器 发送至 发送至 服务器 服务器 服务器 控制指令 控制指令 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 服务器 服务器 虚拟现实 控制系统 控制系统 虚拟现实 控制系统 服务器 虚拟现实 虚拟现实 虚拟现实 服务器 服务器 虚拟现实 控制系统 控制系统 虚拟现实 控制系统 服务器 服务器 虚拟现实 发送至 控制系统 控制系统 虚拟现实 控制系统 控制系统 控制系统 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 服务器 服务器 虚拟现实 控制系统 控制系统 虚拟现实 控制系统 服务器 服务器 虚拟现实 发送至 控制系统 控制系统 虚拟现实 控制系统 控制系统 控制系统 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '',\n",
       " '头戴式 显示器 传感器 传感器 显示器 头戴式 显示器 传感器 处理器 处理器 显示器 传感器 显示器 传感器 头戴式 显示器 传感器 处理器 处理器 显示器 传感器 显示器 传感器 传感器 计算机 显示器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 控制指令 虚拟现实 控制指令 虚拟现实 控制指令 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 控制指令 虚拟现实 控制指令 虚拟现实 控制指令 控制指令 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 控制指令 控制指令 虚拟现实 控制指令 控制指令 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 控制指令 控制指令 虚拟现实 控制指令 ',\n",
       " '摄像头 虚拟现实 虚拟现实 显示器 虚拟现实 摄像头 虚拟现实 虚拟现实 摄像头 虚拟现实 摄像头 虚拟现实 处理器 处理器 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 存储器 处理器 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 虚拟现实 ',\n",
       " '无人机 无人机 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 虚拟现实 头戴式 无人机 虚拟现实 头戴式 无人机 无人机 无人机 虚拟现实 无人机 无人机 无人机 虚拟现实 虚拟现实 虚拟现实 无人机 虚拟现实 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 无人机 无人机 无人机 虚拟现实 无人机 无人机 无人机 无人机 无人机 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 无人机 无人机 虚拟现实 无人机 虚拟现实 无人机 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '数据处理 虚拟现实 发送至 虚拟现实 数据处理 发送至 虚拟现实 数据处理 发送至 虚拟现实 ',\n",
       " '虚拟现实 计算机 计算机 存储介质 虚拟现实 虚拟现实 虚拟现实 发送至 虚拟现实 虚拟现实 计算机 计算机 存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 发送至 虚拟现实 虚拟现实 计算机 处理器 存储器 存储器 计算机程序 计算机程序 处理器 虚拟现实 计算机 存储介质 计算机程序 计算机程序 处理器 虚拟现实 ',\n",
       " '显示器 注意力 显示器 注意力 注意力 显示器 处理器 处理器 注意力 注意力 注意力 显示器 注意力 注意力 注意力 计算机 存储介质 计算机程序 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 存储器 处理器 计算机程序 处理器 计算机程序 虚拟现实 计算机 存储介质 计算机程序 计算机程序 处理器 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 存储介质 计算机程序 处理器 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 ',\n",
       " '存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 存储器 处理器 计算机程序 处理器 计算机程序 计算机 存储介质 计算机 存储介质 计算机程序 计算机程序 处理器 ',\n",
       " '虚拟现实 虚拟现实 康复训练 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 存储器 虚拟现实 头戴式 虚拟现实 头戴式 处理器 虚拟现实 头戴式 虚拟现实 头戴式 三维空间 三维空间 虚拟现实 头戴式 ',\n",
       " '处理器 处理器 处理器 处理器 ',\n",
       " '虚拟现实 计算机 计算机 计算机 计算机 计算机 虚拟现实 ',\n",
       " '虚拟现实 ',\n",
       " '虚拟现实 显示器 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 显示器 传感器 显示器 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 显示信息 显示信息 显示信息 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 显示信息 显示信息 显示信息 显示信息 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 显示信息 显示信息 显示信息 显示信息 虚拟现实 虚拟现实 ',\n",
       " '',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 显示屏 存储器 存储器 显示屏 ',\n",
       " '建筑物 建筑物 虚拟现实 建筑物 建筑物 建筑物 建筑物 建筑物 建筑物 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 服务器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 服务器 ',\n",
       " '发送至 发送至 发送至 发送至 发送至 发送至 ',\n",
       " '虚拟现实 存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 存储器 存储器 处理器 处理器 存储器 虚拟现实 虚拟现实 计算机 存储介质 计算机 存储介质 计算机程序 计算机程序 处理器 虚拟现实 ',\n",
       " '',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '摄像头 服务器 虚拟现实 摄像头 摄像头 服务器 虚拟现实 虚拟现实 服务器 数据处理 虚拟现实 服务器 摄像头 虚拟现实 服务器 虚拟现实 摄像头 三维空间 摄像头 ',\n",
       " '虚拟现实 虚拟现实 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 传感器 虚拟现实 摄像头 摄像头 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 传感器 虚拟现实 摄像头 摄像头 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 处理器 传感器 虚拟现实 虚拟现实 虚拟现实 处理器 摄像头 摄像头 虚拟现实 虚拟现实 虚拟现实 处理器 虚拟现实 虚拟现实 处理器 虚拟现实 虚拟现实 计算机 存储介质 计算机 存储介质 存储器 处理器 存储器 计算机程序 处理器 计算机程序 ',\n",
       " '处理器 ',\n",
       " 'CIM 传感器 CIM CIM CIM 传感器 传感器 传感器 CIM CIM CIM 客户端 CIM CIM 发送至 客户端 CIM 传感器 CIM 传感器 CIM CIM CIM CIM 传感器 传感器 传感器 CIM CIM CIM 客户端 CIM CIM CIM 发送至 客户端 传感器 CIM CIM 传感器 传感器 传感器 CIM 传感器 CIM 传感器 CIM CIM CIM CIM 传感器 传感器 传感器 CIM CIM CIM 客户端 CIM CIM CIM 发送至 客户端 传感器 CIM CIM 传感器 传感器 传感器 计算机 存储介质 存储介质 计算机程序 计算机程序 处理器 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 存储器 处理器 存储器 处理器 存储器 计算机程序 ',\n",
       " '自闭症 康复训练 自闭症 康复训练 自闭症 自闭症 康复训练 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '康复训练 康复训练 康复训练 康复训练 虚拟现实 康复训练 虚拟现实 康复训练 康复训练 康复训练 康复训练 虚拟现实 康复训练 康复训练 发送至 康复训练 康复训练 发送至 康复训练 康复训练 发送至 虚拟现实 虚拟现实 康复训练 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 标识符 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 康复训练 虚拟现实 控制系统 控制系统 发送至 虚拟现实 虚拟现实 康复训练 虚拟现实 虚拟现实 虚拟现实 康复训练 康复训练 虚拟现实 控制系统 控制系统 发送至 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 存储介质 虚拟现实 传感器 虚拟现实 传感器 传感器 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 头戴式 虚拟现实 传感器 虚拟现实 虚拟现实 传感器 传感器 传感器 传感器 虚拟现实 虚拟现实 传感器 虚拟现实 虚拟现实 头戴式 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 传感器 传感器 传感器 传感器 虚拟现实 虚拟现实 传感器 虚拟现实 虚拟现实 头戴式 虚拟现实 传感器 虚拟现实 存储器 处理器 存储器 处理器 计算机程序 处理器 计算机程序 存储介质 存储介质 虚拟现实 虚拟现实 头戴式 虚拟现实 传感器 存储介质 计算机程序 计算机程序 处理器 ',\n",
       " '虚拟现实 数据处理 数据处理 数据处理 数据处理 虚拟现实 虚拟现实 注意力 虚拟现实 注意力 数据处理 数据处理 虚拟现实 虚拟现实 注意力 注意力 数据处理 注意力 注意力 数据处理 注意力 虚拟现实 数据处理 数据处理 注意力 注意力 注意力 注意力 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 处理器 存储器 处理器 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 处理器 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '',\n",
       " '计算机 客户端 客户端 待处理 待处理 发送至 客户端 待处理 待处理 待处理 待处理 发送至 客户端 客户端 客户端 待处理 待处理 发送至 客户端 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 发送至 客户端 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 发送至 客户端 待处理 服务器 待处理 服务器 待处理 待处理 服务器 待处理 客户端 客户端 待处理 待处理 发送至 客户端 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 发送至 客户端 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 待处理 发送至 客户端 待处理 服务器 待处理 服务器 待处理 待处理 服务器 待处理 处理器 处理器 存储器 存储器 处理器 处理器 处理器 计算机 计算机 存储介质 计算机 计算机 ',\n",
       " '虚拟现实 发送至 虚拟现实 发送至 虚拟现实 虚拟现实 发送至 处理器 处理器 存储器 存储器 处理器 处理器 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 服务器 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 虚拟现实 控制指令 控制指令 控制指令 传感器 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 虚拟现实 控制指令 控制指令 控制指令 传感器 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 控制指令 服务器 服务器 存储器 处理器 处理器 虚拟现实 计算机 存储介质 计算机 存储介质 计算机程序 计算机程序 处理器 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储器 计算机 存储器 存储器 计算机 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 计算机 计算机 计算机 计算机 处理器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '虚拟现实 参与者 参与者 虚拟现实 虚拟现实 参与者 参与者 参与者 参与者 参与者 参与者 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 参与者 参与者 虚拟现实 虚拟现实 参与者 参与者 参与者 参与者 参与者 参与者 虚拟现实 参与者 参与者 虚拟现实 虚拟现实 虚拟现实 虚拟现实 参与者 参与者 虚拟现实 虚拟现实 参与者 参与者 参与者 参与者 参与者 参与者 虚拟现实 参与者 参与者 ',\n",
       " '存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 传感器 虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储介质 存储介质 处理器 处理器 存储器 处理器 存储器 存储器 处理器 ',\n",
       " '虚拟现实 存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 存储器 处理器 存储器 存储器 处理器 处理器 存储器 虚拟现实 虚拟现实 计算机 存储介质 计算机 存储介质 计算机程序 计算机程序 处理器 虚拟现实 ',\n",
       " '计算机 虚拟现实 ',\n",
       " '',\n",
       " '存储介质 存储介质 ',\n",
       " '虚拟现实 存储介质 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 计算机 存储介质 计算机 存储介质 虚拟现实 存储器 处理器 存储器 处理器 计算机程序 处理器 计算机程序 虚拟现实 ',\n",
       " '服务器 虚拟现实 ',\n",
       " 'DASH DASH MPD 虚拟现实 MPD 显示信息 显示信息 显示信息 DASH 客户端 DASH MPD 虚拟现实 MPD 处理器 显示信息 显示信息 显示信息 显示信息 显示信息 显示信息 DASH 客户端 DASH MPD 虚拟现实 MPD 处理器 处理器 显示信息 显示信息 显示信息 显示信息 显示信息 显示信息 DASH 客户端 计算机 计算机程序 计算机程序 计算机 计算机 计算机 处理器 DASH 客户端 虚拟现实 DASH MPD MPD 显示信息 显示信息 显示信息 显示信息 显示信息 显示信息 显示信息 ',\n",
       " '虚拟现实 头戴式 显示器 虚拟现实 传感器 传感器 虚拟现实 虚拟现实 头戴式 显示器 虚拟现实 传感器 传感器 虚拟现实 虚拟现实 虚拟现实 ',\n",
       " '数据处理 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 数据处理 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 虚拟现实 数据处理 虚拟现实 数据处理 虚拟现实 虚拟现实 数据处理 存储器 处理器 存储器 处理器 虚拟现实 数据处理 虚拟现实 虚拟现实 ']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 转换格式\n",
    "W_Sum = []\n",
    "for word in Clean_Words:\n",
    "    Sum_W = \"\"\n",
    "    for w in word:\n",
    "        Sum_W += (w + \" \")\n",
    "    W_Sum.append(Sum_W)\n",
    "W_Sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 共现分析方法\n",
    "def create_cooccurrence_matrix(sentences, window_size=2):\n",
    "    import scipy\n",
    "    import nltk\n",
    "\n",
    "    vocabulary = {}\n",
    "    data = []\n",
    "    row = []\n",
    "    col = []\n",
    "\n",
    "    tokenizer = nltk.tokenize.word_tokenize\n",
    "\n",
    "    for sentence in sentences:\n",
    "        sentence = sentence.strip()\n",
    "        tokens = [token for token in tokenizer(sentence) if token != u\"\"]\n",
    "        for pos, token in enumerate(tokens):\n",
    "            i = vocabulary.setdefault(token, len(vocabulary))\n",
    "            start = max(0, pos-window_size)\n",
    "            end = min(len(tokens), pos+window_size+1)\n",
    "            for pos2 in range(start, end):\n",
    "                if pos2 == pos:\n",
    "                    continue\n",
    "                j = vocabulary.setdefault(tokens[pos2], len(vocabulary))\n",
    "                data.append(1.)\n",
    "                row.append(i)\n",
    "                col.append(j)\n",
    "\n",
    "    cooccurrence_matrix_sparse = scipy.sparse.coo_matrix((data, (row, col)))\n",
    "    return vocabulary, cooccurrence_matrix_sparse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "            color:  red;\n",
       "        }</style><table id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >CIM</th>        <th class=\"col_heading level0 col1\" >DASH</th>        <th class=\"col_heading level0 col2\" >MPD</th>        <th class=\"col_heading level0 col3\" >三维空间</th>        <th class=\"col_heading level0 col4\" >人体模型</th>        <th class=\"col_heading level0 col5\" >传感器</th>        <th class=\"col_heading level0 col6\" >参与者</th>        <th class=\"col_heading level0 col7\" >发送至</th>        <th class=\"col_heading level0 col8\" >处理器</th>        <th class=\"col_heading level0 col9\" >头戴式</th>        <th class=\"col_heading level0 col10\" >存储介质</th>        <th class=\"col_heading level0 col11\" >存储器</th>        <th class=\"col_heading level0 col12\" >客户端</th>        <th class=\"col_heading level0 col13\" >康复训练</th>        <th class=\"col_heading level0 col14\" >建筑物</th>        <th class=\"col_heading level0 col15\" >待处理</th>        <th class=\"col_heading level0 col16\" >控制指令</th>        <th class=\"col_heading level0 col17\" >控制系统</th>        <th class=\"col_heading level0 col18\" >摄像头</th>        <th class=\"col_heading level0 col19\" >数据处理</th>        <th class=\"col_heading level0 col20\" >无人机</th>        <th class=\"col_heading level0 col21\" >显示信息</th>        <th class=\"col_heading level0 col22\" >显示器</th>        <th class=\"col_heading level0 col23\" >显示屏</th>        <th class=\"col_heading level0 col24\" >显示方式</th>        <th class=\"col_heading level0 col25\" >服务器</th>        <th class=\"col_heading level0 col26\" >标识符</th>        <th class=\"col_heading level0 col27\" >注意力</th>        <th class=\"col_heading level0 col28\" >自闭症</th>        <th class=\"col_heading level0 col29\" >虚拟现实</th>        <th class=\"col_heading level0 col30\" >计算机</th>        <th class=\"col_heading level0 col31\" >计算机程序</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row0\" class=\"row_heading level0 row0\" >CIM</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col0\" class=\"data row0 col0\" >78.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col1\" class=\"data row0 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col2\" class=\"data row0 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col4\" class=\"data row0 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col5\" class=\"data row0 col5\" >43.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col6\" class=\"data row0 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col7\" class=\"data row0 col7\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col8\" class=\"data row0 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col9\" class=\"data row0 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col10\" class=\"data row0 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col11\" class=\"data row0 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col12\" class=\"data row0 col12\" >18.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col13\" class=\"data row0 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col14\" class=\"data row0 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col15\" class=\"data row0 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col16\" class=\"data row0 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col17\" class=\"data row0 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col18\" class=\"data row0 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col19\" class=\"data row0 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col20\" class=\"data row0 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col21\" class=\"data row0 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col22\" class=\"data row0 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col23\" class=\"data row0 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col24\" class=\"data row0 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col25\" class=\"data row0 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col26\" class=\"data row0 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col27\" class=\"data row0 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col28\" class=\"data row0 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col29\" class=\"data row0 col29\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col30\" class=\"data row0 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row0_col31\" class=\"data row0 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row1\" class=\"row_heading level0 row1\" >DASH</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col0\" class=\"data row1 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col1\" class=\"data row1 col1\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col2\" class=\"data row1 col2\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col4\" class=\"data row1 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col5\" class=\"data row1 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col6\" class=\"data row1 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col7\" class=\"data row1 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col8\" class=\"data row1 col8\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col9\" class=\"data row1 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col10\" class=\"data row1 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col11\" class=\"data row1 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col12\" class=\"data row1 col12\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col13\" class=\"data row1 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col14\" class=\"data row1 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col15\" class=\"data row1 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col16\" class=\"data row1 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col17\" class=\"data row1 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col18\" class=\"data row1 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col19\" class=\"data row1 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col20\" class=\"data row1 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col21\" class=\"data row1 col21\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col22\" class=\"data row1 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col23\" class=\"data row1 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col24\" class=\"data row1 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col25\" class=\"data row1 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col26\" class=\"data row1 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col27\" class=\"data row1 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col28\" class=\"data row1 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col29\" class=\"data row1 col29\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col30\" class=\"data row1 col30\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row1_col31\" class=\"data row1 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row2\" class=\"row_heading level0 row2\" >MPD</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col0\" class=\"data row2 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col1\" class=\"data row2 col1\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col2\" class=\"data row2 col2\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col3\" class=\"data row2 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col4\" class=\"data row2 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col5\" class=\"data row2 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col6\" class=\"data row2 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col7\" class=\"data row2 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col8\" class=\"data row2 col8\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col9\" class=\"data row2 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col10\" class=\"data row2 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col11\" class=\"data row2 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col12\" class=\"data row2 col12\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col13\" class=\"data row2 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col14\" class=\"data row2 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col15\" class=\"data row2 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col16\" class=\"data row2 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col17\" class=\"data row2 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col18\" class=\"data row2 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col19\" class=\"data row2 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col20\" class=\"data row2 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col21\" class=\"data row2 col21\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col22\" class=\"data row2 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col23\" class=\"data row2 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col24\" class=\"data row2 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col25\" class=\"data row2 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col26\" class=\"data row2 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col27\" class=\"data row2 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col28\" class=\"data row2 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col29\" class=\"data row2 col29\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col30\" class=\"data row2 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row2_col31\" class=\"data row2 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row3\" class=\"row_heading level0 row3\" >三维空间</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col0\" class=\"data row3 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col1\" class=\"data row3 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col2\" class=\"data row3 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col3\" class=\"data row3 col3\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col4\" class=\"data row3 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col5\" class=\"data row3 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col6\" class=\"data row3 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col7\" class=\"data row3 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col8\" class=\"data row3 col8\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col9\" class=\"data row3 col9\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col10\" class=\"data row3 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col11\" class=\"data row3 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col12\" class=\"data row3 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col13\" class=\"data row3 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col14\" class=\"data row3 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col15\" class=\"data row3 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col16\" class=\"data row3 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col17\" class=\"data row3 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col18\" class=\"data row3 col18\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col19\" class=\"data row3 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col20\" class=\"data row3 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col21\" class=\"data row3 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col22\" class=\"data row3 col22\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col23\" class=\"data row3 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col24\" class=\"data row3 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col25\" class=\"data row3 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col26\" class=\"data row3 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col27\" class=\"data row3 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col28\" class=\"data row3 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col29\" class=\"data row3 col29\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col30\" class=\"data row3 col30\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row3_col31\" class=\"data row3 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row4\" class=\"row_heading level0 row4\" >人体模型</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col0\" class=\"data row4 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col1\" class=\"data row4 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col2\" class=\"data row4 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col4\" class=\"data row4 col4\" >134.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col5\" class=\"data row4 col5\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col6\" class=\"data row4 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col7\" class=\"data row4 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col8\" class=\"data row4 col8\" >14.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col9\" class=\"data row4 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col10\" class=\"data row4 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col11\" class=\"data row4 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col12\" class=\"data row4 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col13\" class=\"data row4 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col14\" class=\"data row4 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col15\" class=\"data row4 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col16\" class=\"data row4 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col17\" class=\"data row4 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col18\" class=\"data row4 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col19\" class=\"data row4 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col20\" class=\"data row4 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col21\" class=\"data row4 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col22\" class=\"data row4 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col23\" class=\"data row4 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col24\" class=\"data row4 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col25\" class=\"data row4 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col26\" class=\"data row4 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col27\" class=\"data row4 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col28\" class=\"data row4 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col29\" class=\"data row4 col29\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col30\" class=\"data row4 col30\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row4_col31\" class=\"data row4 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row5\" class=\"row_heading level0 row5\" >传感器</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col0\" class=\"data row5 col0\" >43.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col1\" class=\"data row5 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col3\" class=\"data row5 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col4\" class=\"data row5 col4\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col5\" class=\"data row5 col5\" >152.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col6\" class=\"data row5 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col7\" class=\"data row5 col7\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col8\" class=\"data row5 col8\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col9\" class=\"data row5 col9\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col10\" class=\"data row5 col10\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col11\" class=\"data row5 col11\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col12\" class=\"data row5 col12\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col13\" class=\"data row5 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col14\" class=\"data row5 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col15\" class=\"data row5 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col16\" class=\"data row5 col16\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col17\" class=\"data row5 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col18\" class=\"data row5 col18\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col19\" class=\"data row5 col19\" >22.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col20\" class=\"data row5 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col21\" class=\"data row5 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col22\" class=\"data row5 col22\" >26.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col23\" class=\"data row5 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col24\" class=\"data row5 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col25\" class=\"data row5 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col26\" class=\"data row5 col26\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col27\" class=\"data row5 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col28\" class=\"data row5 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col29\" class=\"data row5 col29\" >118.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col30\" class=\"data row5 col30\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row5_col31\" class=\"data row5 col31\" >2.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row6\" class=\"row_heading level0 row6\" >参与者</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col0\" class=\"data row6 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col1\" class=\"data row6 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col4\" class=\"data row6 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col5\" class=\"data row6 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col6\" class=\"data row6 col6\" >166.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col7\" class=\"data row6 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col8\" class=\"data row6 col8\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col9\" class=\"data row6 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col10\" class=\"data row6 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col11\" class=\"data row6 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col12\" class=\"data row6 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col13\" class=\"data row6 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col14\" class=\"data row6 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col15\" class=\"data row6 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col16\" class=\"data row6 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col17\" class=\"data row6 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col18\" class=\"data row6 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col19\" class=\"data row6 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col20\" class=\"data row6 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col21\" class=\"data row6 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col22\" class=\"data row6 col22\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col23\" class=\"data row6 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col24\" class=\"data row6 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col25\" class=\"data row6 col25\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col26\" class=\"data row6 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col27\" class=\"data row6 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col28\" class=\"data row6 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col29\" class=\"data row6 col29\" >44.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col30\" class=\"data row6 col30\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row6_col31\" class=\"data row6 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row7\" class=\"row_heading level0 row7\" >发送至</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col0\" class=\"data row7 col0\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col1\" class=\"data row7 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col2\" class=\"data row7 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col4\" class=\"data row7 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col5\" class=\"data row7 col5\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col6\" class=\"data row7 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col7\" class=\"data row7 col7\" >42.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col8\" class=\"data row7 col8\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col9\" class=\"data row7 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col10\" class=\"data row7 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col11\" class=\"data row7 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col12\" class=\"data row7 col12\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col13\" class=\"data row7 col13\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col14\" class=\"data row7 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col15\" class=\"data row7 col15\" >23.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col16\" class=\"data row7 col16\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col17\" class=\"data row7 col17\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col18\" class=\"data row7 col18\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col19\" class=\"data row7 col19\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col20\" class=\"data row7 col20\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col21\" class=\"data row7 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col22\" class=\"data row7 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col23\" class=\"data row7 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col24\" class=\"data row7 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col25\" class=\"data row7 col25\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col26\" class=\"data row7 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col27\" class=\"data row7 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col28\" class=\"data row7 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col29\" class=\"data row7 col29\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col30\" class=\"data row7 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row7_col31\" class=\"data row7 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row8\" class=\"row_heading level0 row8\" >处理器</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col0\" class=\"data row8 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col1\" class=\"data row8 col1\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col2\" class=\"data row8 col2\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col3\" class=\"data row8 col3\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col4\" class=\"data row8 col4\" >14.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col5\" class=\"data row8 col5\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col6\" class=\"data row8 col6\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col7\" class=\"data row8 col7\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col8\" class=\"data row8 col8\" >122.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col9\" class=\"data row8 col9\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col10\" class=\"data row8 col10\" >16.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col11\" class=\"data row8 col11\" >87.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col12\" class=\"data row8 col12\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col13\" class=\"data row8 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col14\" class=\"data row8 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col15\" class=\"data row8 col15\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col16\" class=\"data row8 col16\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col17\" class=\"data row8 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col18\" class=\"data row8 col18\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col19\" class=\"data row8 col19\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col20\" class=\"data row8 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col21\" class=\"data row8 col21\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col22\" class=\"data row8 col22\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col23\" class=\"data row8 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col24\" class=\"data row8 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col25\" class=\"data row8 col25\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col26\" class=\"data row8 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col27\" class=\"data row8 col27\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col28\" class=\"data row8 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col29\" class=\"data row8 col29\" >98.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col30\" class=\"data row8 col30\" >48.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row8_col31\" class=\"data row8 col31\" >42.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row9\" class=\"row_heading level0 row9\" >头戴式</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col0\" class=\"data row9 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col1\" class=\"data row9 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col2\" class=\"data row9 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col3\" class=\"data row9 col3\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col4\" class=\"data row9 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col5\" class=\"data row9 col5\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col6\" class=\"data row9 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col7\" class=\"data row9 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col8\" class=\"data row9 col8\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col9\" class=\"data row9 col9\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col10\" class=\"data row9 col10\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col11\" class=\"data row9 col11\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col12\" class=\"data row9 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col13\" class=\"data row9 col13\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col14\" class=\"data row9 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col15\" class=\"data row9 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col16\" class=\"data row9 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col17\" class=\"data row9 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col18\" class=\"data row9 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col19\" class=\"data row9 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col20\" class=\"data row9 col20\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col21\" class=\"data row9 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col22\" class=\"data row9 col22\" >15.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col23\" class=\"data row9 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col24\" class=\"data row9 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col25\" class=\"data row9 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col26\" class=\"data row9 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col27\" class=\"data row9 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col28\" class=\"data row9 col28\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col29\" class=\"data row9 col29\" >57.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col30\" class=\"data row9 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row9_col31\" class=\"data row9 col31\" >1.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row10\" class=\"row_heading level0 row10\" >存储介质</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col0\" class=\"data row10 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col1\" class=\"data row10 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col2\" class=\"data row10 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col3\" class=\"data row10 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col4\" class=\"data row10 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col5\" class=\"data row10 col5\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col6\" class=\"data row10 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col7\" class=\"data row10 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col8\" class=\"data row10 col8\" >16.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col9\" class=\"data row10 col9\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col10\" class=\"data row10 col10\" >28.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col11\" class=\"data row10 col11\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col12\" class=\"data row10 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col13\" class=\"data row10 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col14\" class=\"data row10 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col15\" class=\"data row10 col15\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col16\" class=\"data row10 col16\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col17\" class=\"data row10 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col18\" class=\"data row10 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col19\" class=\"data row10 col19\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col20\" class=\"data row10 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col21\" class=\"data row10 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col22\" class=\"data row10 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col23\" class=\"data row10 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col24\" class=\"data row10 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col25\" class=\"data row10 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col26\" class=\"data row10 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col27\" class=\"data row10 col27\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col28\" class=\"data row10 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col29\" class=\"data row10 col29\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col30\" class=\"data row10 col30\" >54.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row10_col31\" class=\"data row10 col31\" >28.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row11\" class=\"row_heading level0 row11\" >存储器</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col0\" class=\"data row11 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col1\" class=\"data row11 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col2\" class=\"data row11 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col3\" class=\"data row11 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col4\" class=\"data row11 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col5\" class=\"data row11 col5\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col6\" class=\"data row11 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col7\" class=\"data row11 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col8\" class=\"data row11 col8\" >87.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col9\" class=\"data row11 col9\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col10\" class=\"data row11 col10\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col11\" class=\"data row11 col11\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col12\" class=\"data row11 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col13\" class=\"data row11 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col14\" class=\"data row11 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col15\" class=\"data row11 col15\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col16\" class=\"data row11 col16\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col17\" class=\"data row11 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col18\" class=\"data row11 col18\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col19\" class=\"data row11 col19\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col20\" class=\"data row11 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col21\" class=\"data row11 col21\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col22\" class=\"data row11 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col23\" class=\"data row11 col23\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col24\" class=\"data row11 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col25\" class=\"data row11 col25\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col26\" class=\"data row11 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col27\" class=\"data row11 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col28\" class=\"data row11 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col29\" class=\"data row11 col29\" >37.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col30\" class=\"data row11 col30\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row11_col31\" class=\"data row11 col31\" >10.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row12\" class=\"row_heading level0 row12\" >客户端</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col0\" class=\"data row12 col0\" >18.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col1\" class=\"data row12 col1\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col2\" class=\"data row12 col2\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col3\" class=\"data row12 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col4\" class=\"data row12 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col5\" class=\"data row12 col5\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col6\" class=\"data row12 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col7\" class=\"data row12 col7\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col8\" class=\"data row12 col8\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col9\" class=\"data row12 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col10\" class=\"data row12 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col11\" class=\"data row12 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col12\" class=\"data row12 col12\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col13\" class=\"data row12 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col14\" class=\"data row12 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col15\" class=\"data row12 col15\" >31.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col16\" class=\"data row12 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col17\" class=\"data row12 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col18\" class=\"data row12 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col19\" class=\"data row12 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col20\" class=\"data row12 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col21\" class=\"data row12 col21\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col22\" class=\"data row12 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col23\" class=\"data row12 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col24\" class=\"data row12 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col25\" class=\"data row12 col25\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col26\" class=\"data row12 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col27\" class=\"data row12 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col28\" class=\"data row12 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col29\" class=\"data row12 col29\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col30\" class=\"data row12 col30\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row12_col31\" class=\"data row12 col31\" >1.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row13\" class=\"row_heading level0 row13\" >康复训练</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col0\" class=\"data row13 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col1\" class=\"data row13 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col2\" class=\"data row13 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col3\" class=\"data row13 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col4\" class=\"data row13 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col5\" class=\"data row13 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col6\" class=\"data row13 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col7\" class=\"data row13 col7\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col8\" class=\"data row13 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col9\" class=\"data row13 col9\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col10\" class=\"data row13 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col11\" class=\"data row13 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col12\" class=\"data row13 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col13\" class=\"data row13 col13\" >88.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col14\" class=\"data row13 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col15\" class=\"data row13 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col16\" class=\"data row13 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col17\" class=\"data row13 col17\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col18\" class=\"data row13 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col19\" class=\"data row13 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col20\" class=\"data row13 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col21\" class=\"data row13 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col22\" class=\"data row13 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col23\" class=\"data row13 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col24\" class=\"data row13 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col25\" class=\"data row13 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col26\" class=\"data row13 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col27\" class=\"data row13 col27\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col28\" class=\"data row13 col28\" >37.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col29\" class=\"data row13 col29\" >74.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col30\" class=\"data row13 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row13_col31\" class=\"data row13 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row14\" class=\"row_heading level0 row14\" >建筑物</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col0\" class=\"data row14 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col1\" class=\"data row14 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col2\" class=\"data row14 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col3\" class=\"data row14 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col4\" class=\"data row14 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col5\" class=\"data row14 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col6\" class=\"data row14 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col7\" class=\"data row14 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col8\" class=\"data row14 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col9\" class=\"data row14 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col10\" class=\"data row14 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col11\" class=\"data row14 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col12\" class=\"data row14 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col13\" class=\"data row14 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col14\" class=\"data row14 col14\" >22.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col15\" class=\"data row14 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col16\" class=\"data row14 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col17\" class=\"data row14 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col18\" class=\"data row14 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col19\" class=\"data row14 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col20\" class=\"data row14 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col21\" class=\"data row14 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col22\" class=\"data row14 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col23\" class=\"data row14 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col24\" class=\"data row14 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col25\" class=\"data row14 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col26\" class=\"data row14 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col27\" class=\"data row14 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col28\" class=\"data row14 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col29\" class=\"data row14 col29\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col30\" class=\"data row14 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row14_col31\" class=\"data row14 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row15\" class=\"row_heading level0 row15\" >待处理</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col0\" class=\"data row15 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col1\" class=\"data row15 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col2\" class=\"data row15 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col3\" class=\"data row15 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col4\" class=\"data row15 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col5\" class=\"data row15 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col6\" class=\"data row15 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col7\" class=\"data row15 col7\" >23.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col8\" class=\"data row15 col8\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col9\" class=\"data row15 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col10\" class=\"data row15 col10\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col11\" class=\"data row15 col11\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col12\" class=\"data row15 col12\" >31.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col13\" class=\"data row15 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col14\" class=\"data row15 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col15\" class=\"data row15 col15\" >182.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col16\" class=\"data row15 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col17\" class=\"data row15 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col18\" class=\"data row15 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col19\" class=\"data row15 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col20\" class=\"data row15 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col21\" class=\"data row15 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col22\" class=\"data row15 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col23\" class=\"data row15 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col24\" class=\"data row15 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col25\" class=\"data row15 col25\" >16.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col26\" class=\"data row15 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col27\" class=\"data row15 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col28\" class=\"data row15 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col29\" class=\"data row15 col29\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col30\" class=\"data row15 col30\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row15_col31\" class=\"data row15 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row16\" class=\"row_heading level0 row16\" >控制指令</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col0\" class=\"data row16 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col1\" class=\"data row16 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col2\" class=\"data row16 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col3\" class=\"data row16 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col4\" class=\"data row16 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col5\" class=\"data row16 col5\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col6\" class=\"data row16 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col7\" class=\"data row16 col7\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col8\" class=\"data row16 col8\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col9\" class=\"data row16 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col10\" class=\"data row16 col10\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col11\" class=\"data row16 col11\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col12\" class=\"data row16 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col13\" class=\"data row16 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col14\" class=\"data row16 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col15\" class=\"data row16 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col16\" class=\"data row16 col16\" >174.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col17\" class=\"data row16 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col18\" class=\"data row16 col18\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col19\" class=\"data row16 col19\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col20\" class=\"data row16 col20\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col21\" class=\"data row16 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col22\" class=\"data row16 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col23\" class=\"data row16 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col24\" class=\"data row16 col24\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col25\" class=\"data row16 col25\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col26\" class=\"data row16 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col27\" class=\"data row16 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col28\" class=\"data row16 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col29\" class=\"data row16 col29\" >58.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col30\" class=\"data row16 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row16_col31\" class=\"data row16 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row17\" class=\"row_heading level0 row17\" >控制系统</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col1\" class=\"data row17 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col2\" class=\"data row17 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col3\" class=\"data row17 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col4\" class=\"data row17 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col5\" class=\"data row17 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col6\" class=\"data row17 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col7\" class=\"data row17 col7\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col8\" class=\"data row17 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col9\" class=\"data row17 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col10\" class=\"data row17 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col11\" class=\"data row17 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col12\" class=\"data row17 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col13\" class=\"data row17 col13\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col14\" class=\"data row17 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col15\" class=\"data row17 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col16\" class=\"data row17 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col17\" class=\"data row17 col17\" >36.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col18\" class=\"data row17 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col19\" class=\"data row17 col19\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col20\" class=\"data row17 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col21\" class=\"data row17 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col22\" class=\"data row17 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col23\" class=\"data row17 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col24\" class=\"data row17 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col25\" class=\"data row17 col25\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col26\" class=\"data row17 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col27\" class=\"data row17 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col28\" class=\"data row17 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col29\" class=\"data row17 col29\" >38.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col30\" class=\"data row17 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row17_col31\" class=\"data row17 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row18\" class=\"row_heading level0 row18\" >摄像头</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col0\" class=\"data row18 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col1\" class=\"data row18 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col2\" class=\"data row18 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col3\" class=\"data row18 col3\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col4\" class=\"data row18 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col5\" class=\"data row18 col5\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col6\" class=\"data row18 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col7\" class=\"data row18 col7\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col8\" class=\"data row18 col8\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col9\" class=\"data row18 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col10\" class=\"data row18 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col11\" class=\"data row18 col11\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col12\" class=\"data row18 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col13\" class=\"data row18 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col14\" class=\"data row18 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col15\" class=\"data row18 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col16\" class=\"data row18 col16\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col17\" class=\"data row18 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col18\" class=\"data row18 col18\" >52.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col19\" class=\"data row18 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col20\" class=\"data row18 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col21\" class=\"data row18 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col22\" class=\"data row18 col22\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col23\" class=\"data row18 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col24\" class=\"data row18 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col25\" class=\"data row18 col25\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col26\" class=\"data row18 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col27\" class=\"data row18 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col28\" class=\"data row18 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col29\" class=\"data row18 col29\" >71.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col30\" class=\"data row18 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row18_col31\" class=\"data row18 col31\" >2.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row19\" class=\"row_heading level0 row19\" >数据处理</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col0\" class=\"data row19 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col1\" class=\"data row19 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col2\" class=\"data row19 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col3\" class=\"data row19 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col4\" class=\"data row19 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col5\" class=\"data row19 col5\" >22.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col6\" class=\"data row19 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col7\" class=\"data row19 col7\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col8\" class=\"data row19 col8\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col9\" class=\"data row19 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col10\" class=\"data row19 col10\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col11\" class=\"data row19 col11\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col12\" class=\"data row19 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col13\" class=\"data row19 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col14\" class=\"data row19 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col15\" class=\"data row19 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col16\" class=\"data row19 col16\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col17\" class=\"data row19 col17\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col18\" class=\"data row19 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col19\" class=\"data row19 col19\" >56.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col20\" class=\"data row19 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col21\" class=\"data row19 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col22\" class=\"data row19 col22\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col23\" class=\"data row19 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col24\" class=\"data row19 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col25\" class=\"data row19 col25\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col26\" class=\"data row19 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col27\" class=\"data row19 col27\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col28\" class=\"data row19 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col29\" class=\"data row19 col29\" >47.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col30\" class=\"data row19 col30\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row19_col31\" class=\"data row19 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row20\" class=\"row_heading level0 row20\" >无人机</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col0\" class=\"data row20 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col1\" class=\"data row20 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col2\" class=\"data row20 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col3\" class=\"data row20 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col4\" class=\"data row20 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col5\" class=\"data row20 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col6\" class=\"data row20 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col7\" class=\"data row20 col7\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col8\" class=\"data row20 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col9\" class=\"data row20 col9\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col10\" class=\"data row20 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col11\" class=\"data row20 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col12\" class=\"data row20 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col13\" class=\"data row20 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col14\" class=\"data row20 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col15\" class=\"data row20 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col16\" class=\"data row20 col16\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col17\" class=\"data row20 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col18\" class=\"data row20 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col19\" class=\"data row20 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col20\" class=\"data row20 col20\" >132.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col21\" class=\"data row20 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col22\" class=\"data row20 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col23\" class=\"data row20 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col24\" class=\"data row20 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col25\" class=\"data row20 col25\" >18.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col26\" class=\"data row20 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col27\" class=\"data row20 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col28\" class=\"data row20 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col29\" class=\"data row20 col29\" >103.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col30\" class=\"data row20 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row20_col31\" class=\"data row20 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row21\" class=\"row_heading level0 row21\" >显示信息</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col0\" class=\"data row21 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col1\" class=\"data row21 col1\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col2\" class=\"data row21 col2\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col3\" class=\"data row21 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col4\" class=\"data row21 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col5\" class=\"data row21 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col6\" class=\"data row21 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col7\" class=\"data row21 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col8\" class=\"data row21 col8\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col9\" class=\"data row21 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col10\" class=\"data row21 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col11\" class=\"data row21 col11\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col12\" class=\"data row21 col12\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col13\" class=\"data row21 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col14\" class=\"data row21 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col15\" class=\"data row21 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col16\" class=\"data row21 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col17\" class=\"data row21 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col18\" class=\"data row21 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col19\" class=\"data row21 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col20\" class=\"data row21 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col21\" class=\"data row21 col21\" >90.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col22\" class=\"data row21 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col23\" class=\"data row21 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col24\" class=\"data row21 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col25\" class=\"data row21 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col26\" class=\"data row21 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col27\" class=\"data row21 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col28\" class=\"data row21 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col29\" class=\"data row21 col29\" >15.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col30\" class=\"data row21 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row21_col31\" class=\"data row21 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row22\" class=\"row_heading level0 row22\" >显示器</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col0\" class=\"data row22 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col1\" class=\"data row22 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col2\" class=\"data row22 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col3\" class=\"data row22 col3\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col4\" class=\"data row22 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col5\" class=\"data row22 col5\" >26.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col6\" class=\"data row22 col6\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col7\" class=\"data row22 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col8\" class=\"data row22 col8\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col9\" class=\"data row22 col9\" >15.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col10\" class=\"data row22 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col11\" class=\"data row22 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col12\" class=\"data row22 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col13\" class=\"data row22 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col14\" class=\"data row22 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col15\" class=\"data row22 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col16\" class=\"data row22 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col17\" class=\"data row22 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col18\" class=\"data row22 col18\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col19\" class=\"data row22 col19\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col20\" class=\"data row22 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col21\" class=\"data row22 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col22\" class=\"data row22 col22\" >14.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col23\" class=\"data row22 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col24\" class=\"data row22 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col25\" class=\"data row22 col25\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col26\" class=\"data row22 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col27\" class=\"data row22 col27\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col28\" class=\"data row22 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col29\" class=\"data row22 col29\" >30.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col30\" class=\"data row22 col30\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row22_col31\" class=\"data row22 col31\" >1.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row23\" class=\"row_heading level0 row23\" >显示屏</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col0\" class=\"data row23 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col1\" class=\"data row23 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col2\" class=\"data row23 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col3\" class=\"data row23 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col4\" class=\"data row23 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col5\" class=\"data row23 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col6\" class=\"data row23 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col7\" class=\"data row23 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col8\" class=\"data row23 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col9\" class=\"data row23 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col10\" class=\"data row23 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col11\" class=\"data row23 col11\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col12\" class=\"data row23 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col13\" class=\"data row23 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col14\" class=\"data row23 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col15\" class=\"data row23 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col16\" class=\"data row23 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col17\" class=\"data row23 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col18\" class=\"data row23 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col19\" class=\"data row23 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col20\" class=\"data row23 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col21\" class=\"data row23 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col22\" class=\"data row23 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col23\" class=\"data row23 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col24\" class=\"data row23 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col25\" class=\"data row23 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col26\" class=\"data row23 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col27\" class=\"data row23 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col28\" class=\"data row23 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col29\" class=\"data row23 col29\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col30\" class=\"data row23 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row23_col31\" class=\"data row23 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row24\" class=\"row_heading level0 row24\" >显示方式</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col0\" class=\"data row24 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col1\" class=\"data row24 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col2\" class=\"data row24 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col3\" class=\"data row24 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col4\" class=\"data row24 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col5\" class=\"data row24 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col6\" class=\"data row24 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col7\" class=\"data row24 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col8\" class=\"data row24 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col9\" class=\"data row24 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col10\" class=\"data row24 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col11\" class=\"data row24 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col12\" class=\"data row24 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col13\" class=\"data row24 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col14\" class=\"data row24 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col15\" class=\"data row24 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col16\" class=\"data row24 col16\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col17\" class=\"data row24 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col18\" class=\"data row24 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col19\" class=\"data row24 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col20\" class=\"data row24 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col21\" class=\"data row24 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col22\" class=\"data row24 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col23\" class=\"data row24 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col24\" class=\"data row24 col24\" >34.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col25\" class=\"data row24 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col26\" class=\"data row24 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col27\" class=\"data row24 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col28\" class=\"data row24 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col29\" class=\"data row24 col29\" >24.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col30\" class=\"data row24 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row24_col31\" class=\"data row24 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row25\" class=\"row_heading level0 row25\" >服务器</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col0\" class=\"data row25 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col1\" class=\"data row25 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col2\" class=\"data row25 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col3\" class=\"data row25 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col4\" class=\"data row25 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col5\" class=\"data row25 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col6\" class=\"data row25 col6\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col7\" class=\"data row25 col7\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col8\" class=\"data row25 col8\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col9\" class=\"data row25 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col10\" class=\"data row25 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col11\" class=\"data row25 col11\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col12\" class=\"data row25 col12\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col13\" class=\"data row25 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col14\" class=\"data row25 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col15\" class=\"data row25 col15\" >16.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col16\" class=\"data row25 col16\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col17\" class=\"data row25 col17\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col18\" class=\"data row25 col18\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col19\" class=\"data row25 col19\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col20\" class=\"data row25 col20\" >18.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col21\" class=\"data row25 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col22\" class=\"data row25 col22\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col23\" class=\"data row25 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col24\" class=\"data row25 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col25\" class=\"data row25 col25\" >36.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col26\" class=\"data row25 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col27\" class=\"data row25 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col28\" class=\"data row25 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col29\" class=\"data row25 col29\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col30\" class=\"data row25 col30\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row25_col31\" class=\"data row25 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row26\" class=\"row_heading level0 row26\" >标识符</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col0\" class=\"data row26 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col1\" class=\"data row26 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col2\" class=\"data row26 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col3\" class=\"data row26 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col4\" class=\"data row26 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col5\" class=\"data row26 col5\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col6\" class=\"data row26 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col7\" class=\"data row26 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col8\" class=\"data row26 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col9\" class=\"data row26 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col10\" class=\"data row26 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col11\" class=\"data row26 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col12\" class=\"data row26 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col13\" class=\"data row26 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col14\" class=\"data row26 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col15\" class=\"data row26 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col16\" class=\"data row26 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col17\" class=\"data row26 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col18\" class=\"data row26 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col19\" class=\"data row26 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col20\" class=\"data row26 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col21\" class=\"data row26 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col22\" class=\"data row26 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col23\" class=\"data row26 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col24\" class=\"data row26 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col25\" class=\"data row26 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col26\" class=\"data row26 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col27\" class=\"data row26 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col28\" class=\"data row26 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col29\" class=\"data row26 col29\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col30\" class=\"data row26 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row26_col31\" class=\"data row26 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row27\" class=\"row_heading level0 row27\" >注意力</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col0\" class=\"data row27 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col1\" class=\"data row27 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col2\" class=\"data row27 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col3\" class=\"data row27 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col4\" class=\"data row27 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col5\" class=\"data row27 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col6\" class=\"data row27 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col7\" class=\"data row27 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col8\" class=\"data row27 col8\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col9\" class=\"data row27 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col10\" class=\"data row27 col10\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col11\" class=\"data row27 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col12\" class=\"data row27 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col13\" class=\"data row27 col13\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col14\" class=\"data row27 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col15\" class=\"data row27 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col16\" class=\"data row27 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col17\" class=\"data row27 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col18\" class=\"data row27 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col19\" class=\"data row27 col19\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col20\" class=\"data row27 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col21\" class=\"data row27 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col22\" class=\"data row27 col22\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col23\" class=\"data row27 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col24\" class=\"data row27 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col25\" class=\"data row27 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col26\" class=\"data row27 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col27\" class=\"data row27 col27\" >40.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col28\" class=\"data row27 col28\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col29\" class=\"data row27 col29\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col30\" class=\"data row27 col30\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row27_col31\" class=\"data row27 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row28\" class=\"row_heading level0 row28\" >自闭症</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col0\" class=\"data row28 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col1\" class=\"data row28 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col2\" class=\"data row28 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col3\" class=\"data row28 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col4\" class=\"data row28 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col5\" class=\"data row28 col5\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col6\" class=\"data row28 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col7\" class=\"data row28 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col8\" class=\"data row28 col8\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col9\" class=\"data row28 col9\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col10\" class=\"data row28 col10\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col11\" class=\"data row28 col11\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col12\" class=\"data row28 col12\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col13\" class=\"data row28 col13\" >37.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col14\" class=\"data row28 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col15\" class=\"data row28 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col16\" class=\"data row28 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col17\" class=\"data row28 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col18\" class=\"data row28 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col19\" class=\"data row28 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col20\" class=\"data row28 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col21\" class=\"data row28 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col22\" class=\"data row28 col22\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col23\" class=\"data row28 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col24\" class=\"data row28 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col25\" class=\"data row28 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col26\" class=\"data row28 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col27\" class=\"data row28 col27\" >9.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col28\" class=\"data row28 col28\" >104.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col29\" class=\"data row28 col29\" >51.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col30\" class=\"data row28 col30\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row28_col31\" class=\"data row28 col31\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row29\" class=\"row_heading level0 row29\" >虚拟现实</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col0\" class=\"data row29 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col1\" class=\"data row29 col1\" >5.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col2\" class=\"data row29 col2\" >7.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col3\" class=\"data row29 col3\" >13.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col4\" class=\"data row29 col4\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col5\" class=\"data row29 col5\" >118.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col6\" class=\"data row29 col6\" >44.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col7\" class=\"data row29 col7\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col8\" class=\"data row29 col8\" >98.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col9\" class=\"data row29 col9\" >57.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col10\" class=\"data row29 col10\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col11\" class=\"data row29 col11\" >37.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col12\" class=\"data row29 col12\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col13\" class=\"data row29 col13\" >74.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col14\" class=\"data row29 col14\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col15\" class=\"data row29 col15\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col16\" class=\"data row29 col16\" >58.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col17\" class=\"data row29 col17\" >38.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col18\" class=\"data row29 col18\" >71.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col19\" class=\"data row29 col19\" >47.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col20\" class=\"data row29 col20\" >103.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col21\" class=\"data row29 col21\" >15.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col22\" class=\"data row29 col22\" >30.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col23\" class=\"data row29 col23\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col24\" class=\"data row29 col24\" >24.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col25\" class=\"data row29 col25\" >46.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col26\" class=\"data row29 col26\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col27\" class=\"data row29 col27\" >8.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col28\" class=\"data row29 col28\" >51.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col29\" class=\"data row29 col29\" >2344.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col30\" class=\"data row29 col30\" >55.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row29_col31\" class=\"data row29 col31\" >12.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row30\" class=\"row_heading level0 row30\" >计算机</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col0\" class=\"data row30 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col1\" class=\"data row30 col1\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col2\" class=\"data row30 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col3\" class=\"data row30 col3\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col4\" class=\"data row30 col4\" >4.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col5\" class=\"data row30 col5\" >6.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col6\" class=\"data row30 col6\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col7\" class=\"data row30 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col8\" class=\"data row30 col8\" >48.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col9\" class=\"data row30 col9\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col10\" class=\"data row30 col10\" >54.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col11\" class=\"data row30 col11\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col12\" class=\"data row30 col12\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col13\" class=\"data row30 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col14\" class=\"data row30 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col15\" class=\"data row30 col15\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col16\" class=\"data row30 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col17\" class=\"data row30 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col18\" class=\"data row30 col18\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col19\" class=\"data row30 col19\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col20\" class=\"data row30 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col21\" class=\"data row30 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col22\" class=\"data row30 col22\" >3.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col23\" class=\"data row30 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col24\" class=\"data row30 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col25\" class=\"data row30 col25\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col26\" class=\"data row30 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col27\" class=\"data row30 col27\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col28\" class=\"data row30 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col29\" class=\"data row30 col29\" >55.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col30\" class=\"data row30 col30\" >84.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row30_col31\" class=\"data row30 col31\" >20.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560level0_row31\" class=\"row_heading level0 row31\" >计算机程序</th>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col0\" class=\"data row31 col0\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col1\" class=\"data row31 col1\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col2\" class=\"data row31 col2\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col3\" class=\"data row31 col3\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col4\" class=\"data row31 col4\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col5\" class=\"data row31 col5\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col6\" class=\"data row31 col6\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col7\" class=\"data row31 col7\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col8\" class=\"data row31 col8\" >42.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col9\" class=\"data row31 col9\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col10\" class=\"data row31 col10\" >28.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col11\" class=\"data row31 col11\" >10.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col12\" class=\"data row31 col12\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col13\" class=\"data row31 col13\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col14\" class=\"data row31 col14\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col15\" class=\"data row31 col15\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col16\" class=\"data row31 col16\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col17\" class=\"data row31 col17\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col18\" class=\"data row31 col18\" >2.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col19\" class=\"data row31 col19\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col20\" class=\"data row31 col20\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col21\" class=\"data row31 col21\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col22\" class=\"data row31 col22\" >1.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col23\" class=\"data row31 col23\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col24\" class=\"data row31 col24\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col25\" class=\"data row31 col25\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col26\" class=\"data row31 col26\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col27\" class=\"data row31 col27\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col28\" class=\"data row31 col28\" >0.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col29\" class=\"data row31 col29\" >12.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col30\" class=\"data row31 col30\" >20.000000</td>\n",
       "                        <td id=\"T_c0c1d962_7b73_11ed_a599_7c2a31668560row31_col31\" class=\"data row31 col31\" >36.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1d553a95a58>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 主题词共现分析\n",
    "vocabs,co_occ = create_cooccurrence_matrix(W_Sum)\n",
    "\n",
    "df_co_occ  = pd.DataFrame(co_occ.todense(),\n",
    "                          index=vocabs.keys(),\n",
    "                          columns = vocabs.keys())\n",
    "\n",
    "df_co_occ = df_co_occ.sort_index()[sorted(vocabs.keys())]\n",
    "df_co_occ.style.applymap(lambda x: 'color: red' if x>0 else '')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_co_occ.to_csv('to ucinet14.csv', sep = ',',encoding=\"utf-8\")"
   ]
  }
 ],
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